Spatial Transcriptomics Display System with Multi-Resolution Bins
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Solution Overview
Problem
Spatial transcriptomics data is challenging due to its large volume and granular nature, which can obscure important details and be memory-intensive and time-consuming to render at high resolution.
Innovation Solution
A spatial transcriptomics display system that presents data at multiple resolutions, including a summary view with 100 μm bins and a detailed view with 10 μm bins, maintaining consistent feature values across resolutions using methods like majority voting or polygon outlining.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spatial transcriptomics data is displayed at high granularity (10 μm bins), then detailed information is visible, but memory usage and rendering time increase significantly
Solution Approach 1:
The patent divides the spatial transcriptomics data into multiple resolution levels (e.g., 100 μm bins for summary view and 10 μm bins for detailed view). This segmentation allows the system to store and render data at different granularities, presenting high-resolution data only when needed while using lower-resolution data for overview displays, thereby reducing overall memory usage and rendering time.
Solution Approach 2:
The patent applies local quality by allowing different regions of the tissue section to be displayed at different resolutions simultaneously. The summary view uses 100 μm bins for low-resolution overview, while the detailed view uses 10 μm bins for high-resolution examination of specific regions. This enables the system to optimize memory usage by only maintaining high-resolution data for regions currently being examined in detail.
2Measurement precision
If spatial transcriptomics data is displayed at high granularity (10 μm bins), then detailed information is visible, but rendering time increases significantly
Solution Approach 1:
The patent performs preliminary actions by pre-processing and organizing spatial transcriptomics data into multiple resolution levels before display. The system pre-calculates and stores summary statistics for 100 μm bins and detailed data for 10 μm bins, so that when a user requests a particular view, the appropriate pre-processed data can be quickly rendered without requiring real-time computation of high-resolution displays from raw data.
Solution Approach 2:
The patent implements dynamic resolution switching that adapts to user interaction. When users zoom in or request detailed views, the system dynamically loads and renders high-resolution 10 μm bin data for the specific region of interest, while maintaining lower-resolution 100 μm bin data for other regions. This dynamic approach minimizes rendering time by only processing high-resolution data where and when it is needed.
3Productivity
If spatial transcriptomics data is displayed at summary level (100 μm bins), then rendering is efficient, but important detailed data may be obscured
Solution Approach 1:
The patent adds a dimensional aspect to data display by implementing multiple resolution levels (100 μm and 10 μm bins) that can be switched between or viewed simultaneously. This dimensional change allows users to navigate from an efficient summary view at 100 μm resolution to a detailed view at 10 μm resolution, ensuring that important detailed data is not obscured but can be accessed on demand without sacrificing overall rendering efficiency.
Solution Approach 2:
The patent creates a universal display system that can present spatial transcriptomics data at multiple resolutions through a single integrated interface. The system maintains both 100 μm summary bins and 10 μm detailed bins, allowing the same platform to serve both efficient overview rendering and detailed data examination needs, rather than requiring separate systems for each resolution level.
Data Source
AI summary
Systems and methods for dynamic summary and detailed views for spatial transcriptomics are described. In a first implementation, a method includes: presenting a first display representing a region of tissue at a first zoom level. The region of tissue is divided into first bins each having a first resolution. The first display indicates first feature values related to spatial transcriptomics. Each of the first feature values are selected from a set of candidate feature values. In response to receiving a selection to zoom in on a portion of the region at a second zoom level, presenting a second display representing the portion at the second zoom level. The portion is divided into second bins each having a second resolution which correspond to smaller areas than the first bins. The second display indicates second feature values, where the second feature values are selected from the same set of candidate feature values.